Robert Eidenberger
Papers
6
Total Citations
150
H-Index
5
About
Robert Eidenberger is a leading researcher in robotic perception, with a focus on enabling mobile service robots to operate autonomously in complex, unstructured human environments. His work centers on 6D object localization, scene modeling, and active perception planning—critical for safe, collision-free manipulation. Eidenberger’s major contributions include developing probabilistic frameworks that estimate 6D object poses and their uncertainties, allowing robots to actively plan sensor movements to reduce ambiguity in cluttered scenes. His most cited paper, “Active perception and scene modeling by planning with probabilistic 6D object poses” (2010, 70 citations), introduces a novel approach for handling multi-object environments without prior knowledge of object counts. His 2009 paper on 6D localization and obstacle detection (36 citations) directly addresses the challenge of operating in everyday settings, bridging perception and manipulation. Eidenberger’s work on pose uncertainty and occlusion estimation has advanced robust robotic perception, with cumulative citations exceeding 150. His research remains foundational for service robots that must navigate and interact with dynamic, real-world spaces, making him a key figure in autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 26D object localization and obstacle detection for collision-free manipulation with a mobile service robot36 citations · 2009
- 3
- 46D Pose Uncertainty in Robotic Perception16 citations · 2009
- 5Scene Analysis for Service Robots6 citations · 2012
- 6